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Learning To Detect Mirrors From Videos via Dual Correspondences

CVPR 2023 · Video › Video segmentation and tracking · approach: Weakly supervised video anomaly detection · 22 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the dual correspondence module, including both stages, rather than using a single-frame convolutional baseline (ablation)VMD-Net · VMD-D testIoU: 0.424 -> 0.567Helped
Add the dual correspondence module, including both stages, rather than using a three-frame convolutional baseline (ablation)VMD-Net · VMD-D testIoU: 0.446 -> 0.567Helped
Add the first stage of the dual correspondence module (ablation)VMD-Net · VMD-D testIoU: 0.524 -> 0.567Helped
Add the second stage of the dual correspondence module (ablation)VMD-Net · VMD-D testIoU: 0.533 -> 0.567Helped
Use different frames instead of three copies of the same frame (ablation)VMD-Net · VMD-D testIoU: 0.525 -> 0.567Helped
Use both randomly selected and adjacent frames rather than only adjacent frames (ablation)VMD-Net · VMD-D testIoU: 0.539 -> 0.567Helped
Use intra-frame and inter-frame correspondences for video mirror detectionVMD-Net · VMD-D testIoU: 0.539 -> 0.567Helped

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